| Title |
An Analysis of the Interaction Between Intelligent Software Agents and Human Users
|
|---|---|
| Published in |
Minds and Machines, September 2018
|
| DOI | 10.1007/s11023-018-9479-0 |
| Pubmed ID | |
| Authors |
Christopher Burr, Nello Cristianini, James Ladyman |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 40% |
| United Kingdom | 7 | 28% |
| South Africa | 1 | 4% |
| Colombia | 1 | 4% |
| Unknown | 6 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 92% |
| Scientists | 1 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 255 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 255 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 18% |
| Student > Master | 44 | 17% |
| Student > Bachelor | 13 | 5% |
| Lecturer | 10 | 4% |
| Researcher | 9 | 4% |
| Other | 42 | 16% |
| Unknown | 90 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 47 | 18% |
| Business, Management and Accounting | 22 | 9% |
| Social Sciences | 15 | 6% |
| Engineering | 14 | 5% |
| Psychology | 13 | 5% |
| Other | 42 | 16% |
| Unknown | 102 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2023.
All research outputs
#1,062,807
of 24,008,549 outputs
Outputs from Minds and Machines
#21
of 327 outputs
Outputs of similar age
#23,889
of 344,326 outputs
Outputs of similar age from Minds and Machines
#2
of 8 outputs
Altmetric has tracked 24,008,549 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 327 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 344,326 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.